Table 6

Performance of classification algorithms.

Algorithmf

Accuracya

Recallb

Precisionc

Specificityd

NPVe


ADID + LLM

80%

90%

82%

57%

72%

Decision tree

63%

76%

72%

35%

40%

PAM

81%

90%

83%

61%

74%

SVM

84%

94%

84%

61%

82%


a Accuracy is the fraction of correctly classified patients and overall classified patients.

b Recall is the fraction of correctly classified good outcome patients and the overall predicted good outcome patients.

c Precision is the fraction of correctly classified good outcome patients and the predicted good outcome patients.

d Specificity is the fraction of correctly classified poor outcome patients and the overall poor outcome patients.

e NPV(negative predictive value) is the fraction of correctly classified poor outcome patients and the overall predicted poor outcome patients.

f Machine learning algorithms utilized for comparison.

Cangelosi et al. BMC Bioinformatics 2014 15(Suppl 5):S4   doi:10.1186/1471-2105-15-S5-S4

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